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Title: A hybrid heuristic algorithm for the open-pit-mining operational planning problem.
Authors: Souza, Marcone Jamilson Freitas
Coelho, Igor Machado
Ribas, Sabir
Santos, Haroldo Gambini
Merschmann, Luiz Henrique de Campos
Keywords: Open pit mining
Variable neighborhood search
Mathematical programming
Issue Date: 2010
Citation: SOUZA, M. J. F. et al. A hybrid heuristic algorithm for the open-pit-mining operational planning problem. European Journal of Operational Research, v. 207, p. 1041-1051, 2010. Disponível em: <>. Acesso em: 23 jan. 2015.
Abstract: This paper deals with the Open-Pit-Mining Operational Planning problem with dynamic truck allocation. The objective is to optimize mineral extraction in the mines by minimizing the number of mining trucks used to meet production goals and quality requirements. According to the literature, this problem is NPhard, so a heuristic strategy is justified. We present a hybrid algorithm that combines characteristics of two metaheuristics: Greedy Randomized Adaptive Search Procedures and General Variable Neighborhood Search. The proposed algorithm was tested using a set of real-data problems and the results were validated by running the CPLEX optimizer with the same data. This solver used a mixed integer programming model also developed in this work. The computational experiments show that the proposed algorithm is very competitive, finding near optimal solutions (with a gap of less than 1%) in most instances, demanding short computing times.
ISSN: 0377-2217
metadata.dc.rights.license: Permission to copy without fee all or part of the material printed in JIDM is granted provided that the copies are not made or distributed for commercial advantage, and that notice is given that copying is by permission of the Sociedade Brasileira de Computação. Fonte: Informação contida no artigo.
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